196 related articles for article (PubMed ID: 31758233)
1. The common message of constraint-based optimization approaches: overflow metabolism is caused by two growth-limiting constraints.
de Groot DH; Lischke J; Muolo R; Planqué R; Bruggeman FJ; Teusink B
Cell Mol Life Sci; 2020 Feb; 77(3):441-453. PubMed ID: 31758233
[TBL] [Abstract][Full Text] [Related]
2. Flux modules in metabolic networks.
Müller AC; Bockmayr A
J Math Biol; 2014 Nov; 69(5):1151-79. PubMed ID: 24141488
[TBL] [Abstract][Full Text] [Related]
3. Modelling overflow metabolism in Escherichia coli with flux balance analysis incorporating differential proteomic efficiencies of energy pathways.
Zeng H; Yang A
BMC Syst Biol; 2019 Jan; 13(1):3. PubMed ID: 30630470
[TBL] [Abstract][Full Text] [Related]
4. Redox balance is key to explaining full vs. partial switching to low-yield metabolism.
van Hoek MJ; Merks RM
BMC Syst Biol; 2012 Mar; 6():22. PubMed ID: 22443685
[TBL] [Abstract][Full Text] [Related]
5. Energy metabolism controls phenotypes by protein efficiency and allocation.
Chen Y; Nielsen J
Proc Natl Acad Sci U S A; 2019 Aug; 116(35):17592-17597. PubMed ID: 31405984
[TBL] [Abstract][Full Text] [Related]
6. A genome-scale metabolic model of Saccharomyces cerevisiae that integrates expression constraints and reaction thermodynamics.
Oftadeh O; Salvy P; Masid M; Curvat M; Miskovic L; Hatzimanikatis V
Nat Commun; 2021 Aug; 12(1):4790. PubMed ID: 34373465
[TBL] [Abstract][Full Text] [Related]
7. Metabolic flux configuration determination using information entropy.
Rivas-Astroza M; Conejeros R
PLoS One; 2020; 15(12):e0243067. PubMed ID: 33275628
[TBL] [Abstract][Full Text] [Related]
8. ECMpy, a Simplified Workflow for Constructing Enzymatic Constrained Metabolic Network Model.
Mao Z; Zhao X; Yang X; Zhang P; Du J; Yuan Q; Ma H
Biomolecules; 2022 Jan; 12(1):. PubMed ID: 35053213
[TBL] [Abstract][Full Text] [Related]
9. Which sets of elementary flux modes form thermodynamically feasible flux distributions?
Gerstl MP; Jungreuthmayer C; Müller S; Zanghellini J
FEBS J; 2016 May; 283(9):1782-94. PubMed ID: 26940826
[TBL] [Abstract][Full Text] [Related]
10. Manipulation of the ATP pool as a tool for metabolic engineering.
Hädicke O; Klamt S
Biochem Soc Trans; 2015 Dec; 43(6):1140-5. PubMed ID: 26614651
[TBL] [Abstract][Full Text] [Related]
11. A mathematical framework for yield (vs. rate) optimization in constraint-based modeling and applications in metabolic engineering.
Klamt S; Müller S; Regensburger G; Zanghellini J
Metab Eng; 2018 May; 47():153-169. PubMed ID: 29427605
[TBL] [Abstract][Full Text] [Related]
12. Automatic construction of metabolic models with enzyme constraints.
Bekiaris PS; Klamt S
BMC Bioinformatics; 2020 Jan; 21(1):19. PubMed ID: 31937255
[TBL] [Abstract][Full Text] [Related]
13. A metabolite-centric view on flux distributions in genome-scale metabolic models.
Riemer SA; Rex R; Schomburg D
BMC Syst Biol; 2013 Apr; 7():33. PubMed ID: 23587327
[TBL] [Abstract][Full Text] [Related]
14. Metabolic network modeling with model organisms.
Yilmaz LS; Walhout AJ
Curr Opin Chem Biol; 2017 Feb; 36():32-39. PubMed ID: 28088694
[TBL] [Abstract][Full Text] [Related]
15. ICON-GEMs: integration of co-expression network in genome-scale metabolic models, shedding light through systems biology.
Paklao T; Suratanee A; Plaimas K
BMC Bioinformatics; 2023 Dec; 24(1):492. PubMed ID: 38129786
[TBL] [Abstract][Full Text] [Related]
16. A hybrid model of anaerobic E. coli GJT001: combination of elementary flux modes and cybernetic variables.
Kim JI; Varner JD; Ramkrishna D
Biotechnol Prog; 2008; 24(5):993-1006. PubMed ID: 19194908
[TBL] [Abstract][Full Text] [Related]
17. Experimental evidence suggests the existence of evolutionary conserved global operation principles governing microbial metabolism.
Bordel S
Sci Rep; 2013 Oct; 3():3017. PubMed ID: 24145501
[TBL] [Abstract][Full Text] [Related]
18. TRFBA: an algorithm to integrate genome-scale metabolic and transcriptional regulatory networks with incorporation of expression data.
Motamedian E; Mohammadi M; Shojaosadati SA; Heydari M
Bioinformatics; 2017 Apr; 33(7):1057-1063. PubMed ID: 28065897
[TBL] [Abstract][Full Text] [Related]
19. Acorn: a grid computing system for constraint based modeling and visualization of the genome scale metabolic reaction networks via a web interface.
Sroka J; Bieniasz-Krzywiec L; Gwóźdź S; Leniowski D; Lącki J; Markowski M; Avignone-Rossa C; Bushell ME; McFadden J; Kierzek AM
BMC Bioinformatics; 2011 May; 12():196. PubMed ID: 21609434
[TBL] [Abstract][Full Text] [Related]
20. Toward Synthetic Biology Strategies for Adipic Acid Production: An in Silico Tool for Combined Thermodynamics and Stoichiometric Analysis of Metabolic Networks.
Averesch NJH; Martínez VS; Nielsen LK; Krömer JO
ACS Synth Biol; 2018 Feb; 7(2):490-509. PubMed ID: 29237121
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
